Parthipan Siva

According to our database1, Parthipan Siva authored at least 34 papers between 2007 and 2024.

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Bibliography

2024
Automatic Radar-Based Step Length Measurement in the Home for Older Adults Living with Frailty.
Sensors, February, 2024

Step length measurement in the wild using FMCW radar.
CoRR, 2024

2022
Self-Supervised Shape Alignment for Sports Field Registration.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021
Exploiting prunability for person re-identification.
EURASIP J. Image Video Process., 2021

2020
Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Pose Guided Gated Fusion for Person Re-identification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019
Fairest of Them All: Establishing a Strong Baseline for Cross-Domain Person ReID.
CoRR, 2019

A Survey of Pruning Methods for Efficient Person Re-identification Across Domains.
CoRR, 2019

2018
Real-Time Embedded Motion Detection via Neural Response Mixture Modeling.
J. Signal Process. Syst., 2018

An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification.
Proceedings of the 15th Conference on Computer and Robot Vision, 2018

2017
Scale-Corrected Background Modeling.
Proceedings of the 14th Conference on Computer and Robot Vision, 2017

2016
NeRD: A Neural Response Divergence Approach to Visual Saliency Detection.
IEEE Signal Process. Lett., 2016

Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG).
CoRR, 2016

NeRD: a Neural Response Divergence Approach to Visual Salience Detection.
CoRR, 2016

StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity.
IEEE Access, 2016

Real-Time, Embedded Scene Invariant Crowd Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG).
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Efficient Deep Feature Learning and Extraction via StochasticNets.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Embedded Motion Detection via Neural Response Mixture Background Modeling.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Hyperspectral Image Classification With Limited Labeled Training Samples Using Enhanced Ensemble Learning and Conditional Random Fields.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Domain Adaptation and Transfer Learning in StochasticNets.
CoRR, 2015

A Deep-Structured Fully Connected Random Field Model for Structured Inference.
IEEE Access, 2015

PIRM: Fast background subtraction under sudden, local illumination changes via probabilistic illumination range modelling.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Return of grid seams: A superpixel algorithm using discontinuous multi-functional energy seam carving.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

DESIRe: Discontinuous energy seam carving for image retargeting via structural and textural energy functionals.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
URC: Unsupervised regional clustering of remote sensing imagery.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Efficient Bayesian inference using fully connected conditional random fields with stochastic cliques.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Grid Seams: A Fast Superpixel Algorithm for Real-Time Applications.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2014

2013
Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
In Defence of Negative Mining for Annotating Weakly Labelled Data.
Proceedings of the Computer Vision - ECCV 2012, 2012

Transfer Learning by Ranking for Weakly Supervised Object Annotation.
Proceedings of the British Machine Vision Conference, 2012

2011
Weakly supervised object detector learning with model drift detection.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Weakly Supervised Action Detection.
Proceedings of the British Machine Vision Conference, 2011

2010
Action Detection in Crowd.
Proceedings of the British Machine Vision Conference, 2010

2007
Automated Detection of Mitosis in Embryonic Tissues.
Proceedings of the Fourth Canadian Conference on Computer and Robot Vision (CRV 2007), 2007


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